Enabling CSP’s to transform network operations
The scope and objectives of the AI closed loop automation workgroup are to define a reference architecture and related collateral to enable communication service providers (CSPs) to transform network operations by using AI driven closed-loop automation to detect anomalies, determine resolution and implement the required changes to the network within a continuous highly automated framework. The primary audience is CSP IT and network management who need to improve network operations to quickly resolve network issues and ensure the network operates efficiently.
CSPs are overwhelmed with huge amounts of data, taking days or weeks to troubleshoot problems. Even though traditional expert systems have helped identify root causes and anomalies, they have significant operational expenses associated with them, not to mention being tedious and time-consuming to build. This is why we need AI/ML-based systems to help with proactive detection and automation to keep up with today’s data growth and complexity. We need to understand what is required to detect an anomaly that is a service impact and what is required to automate a remediation for such an anomaly.
- Who should join?Skills and experience are needed from those who want to contribute to and build the thought leadership, guide books, best practices and standards that shape the future for digital business in any industry.
- What commitment is required in terms of time and effort?Provide commitment to join weekly Tuesdays, 15:00-16:00 CET.
- What will I get out of this?As a member of the AI Closed Loop Automation project, you and your organization are able to contribute to and build the thought leadership, guide books, best practices and standards that shape the future for digital business in any industry.
- How can I join?Join the project here
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